Senior Data Engineer: AI-Driven Finance Platform

The Walt Disney Company

Tandil

On-site

ARS 3,600,000 - 7,200,000

Full time

2 days ago
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Job summary

The Walt Disney Company Argentina is hiring a Senior Data Engineer to lead the data foundation for the D-Fi platform. You will own ELT pipelines ingesting data from SAP, EPM, GL, Snowflake, HRIS, and procurement systems, and maintain the dbt models and semantic layer that define budget, actuals, and variance across the platform.

You will design for low-latency, high-reliability data access in autonomous finance workflows, ensuring data quality and real-time freshness for downstream reporting and

Qualifications

  • 5+ years of data engineering experience building production ELT pipelines.
  • Advanced level of English (must).
  • Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree a plus but not required.
  • Experience building and maintaining a semantic layer or certified metrics framework.
  • Strong data quality instincts with automated checks.
  • Experience with near-real-time/change-data-capture patterns, not just batch pipelines.
  • Background working with financial/ERP data (SAP, EPM, GL) is a plus.

Responsibilities

  • Own the data foundation and ELT pipelines ingesting financial and operational data.
  • Own the semantic layer and certified metrics used as the single source of truth.

Skills

Python
SQL
Cloud data platforms
English proficiency

Education

Bachelor's degree in Computer Science or related field
Advanced degree a plus

Tools

Snowflake
dbt
Airflow

Job description

The Walt Disney Company Argentina is hiring a Senior Data Engineer to lead the data foundation for the D-Fi platform. You will own ELT pipelines ingesting data from SAP, EPM, GL, Snowflake, HRIS, and procurement systems, and maintain the dbt models and semantic layer that define budget, actuals, and variance across the platform.

You will design for low-latency, high-reliability data access in autonomous finance workflows, ensuring data quality and real-time freshness for downstream reporting and

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